野性有多狂野:生理计算研究中生态有效性的经验教训和建议

Élise Labonté-LeMoyne, F. Courtemanche, M. Fredette, Pierre-Majorique Léger
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引用次数: 7

摘要

虽然许多人呼吁在生理计算研究中增加生态有效性,但实施非常自然的研究可能具有挑战性。在本文中,我们提出了一种量化生态有效性的方法,以便在研究之间进行比较。我们还对四种类型的研究进行了批判性的审视,这些研究是从量化我们过去实验的生态有效性中出现的。最后,我们从我们自己的工作中提供建议和经验教训,这些研究跨越了广泛的生态有效性水平,为希望在野生研究中做更多工作的研究人员提供建议和经验教训。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
How Wild Is Too Wild: Lessons Learned and Recommendations for Ecological Validity in Physiological Computing Research
: While many call for increased ecological validity in physiological computing research, implementing very naturalistic studies can be challenging. In this paper, we present a way to quantify ecological validity to allow comparisons between studies. We also present a critical look at four types of studies that have emerged from quantifying the ecological validity of our past experiments. Finally, we provide recommendations and lessons learned from our own work conducting studies that span a wide range of levels of ecological validity for researchers who wish to do more in the wild research.
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